To code this we started by seeing the path and then putting in all the actions and estimated the times needed. After running the code and troubleshooting a lot we figured out the right timing. Github 

After, adding the Bluetooth piece to my code wiring it to Pico, dragging the file to control it, and connecting my phone. I had to link the buttons to different functions to make them work, and my robot is now completely controlled by my phone. GitHub 

In the image to left is the wiring table for the servo's too the pico. When wiring me and my partner made sure to color code and to label to keep all the info organized and easy to pick up. We have only 3 main wires a Ground, a pin, and a power wire.

https://github.com/JonnathanThompson/Servo 

This 3D-printed component is essential for the Skittle sorter project. It is precisely measured to ensure that Skittles pass through the funnel one at a time.

1. the goal of the model is to process the data of faces from students in the class and to put a name to any photo of that person. The data we used to train the machine learning model was photo we took everyday in class for months, and after taking the photos we put them under approiate names to teach the model our faces and names. The model learns faces and names and then infers names of new picters based on old data. The accuracy depends on how well you train the mode and the ratio of errors to correct answers. My model is linked right here, Model.

My partner and I identified the optimal environment and precise RGB values to distinguish the different colors in a bag of Skittles. After this, we coded the logic to separate the Skittles based on the parameters we established.